—The video streaming may be the most important
service of the internet nowadays, and it changes the viewing
habits of the millions of people. The novel streaming technique –
adaptive streaming helps the people to watch the videos
smoother, that is, the video quality or bitrate would be changed
with the bandwidth adaptively. However, the design of the
traditional adaptive streaming does not take the entire internet
into account, that is, each device may grab the bandwidth as
much as possible, and the allocation of the bandwidth may not
fairness which causes the unfairness of the quality of experience
(QoE). In this study, the software defined network (SDN) is
applied to be the centralized control for allocating the
bandwidth. Besides, a greedy-based video bitrate selection
algorithm is proposed for achieving the QoE fairness. By
comparing the results to the brute-force method, the proposed
method can achieve the QoE fairness as the optimum solution of
the brute-force method.
—Adaptive streaming, QoE fairness, SDN,
greedy-based, video bitrate selection.
The authors are with the Information and Communications Research Laboratories of Industrial Technology Research Institute of Taiwan, Taiwan
R.O.C (e-mail: firstname.lastname@example.org, email@example.com).
Cite: Kuei-Hong Lin and Kuo-Huang Chung, "A Greedy-Based Video Bitrate Selection Algorithm with
Consideration of QoE Fairness for Adaptive Streaming
over Software Defined Network," International Journal of Future Computer and Communication vol. 4, no. 2, pp. 136-142, 2015.